class tf.contrib.lookup.TextFileIdTableInitializer
Table initializer for string to int64
IDs tables from a text file.
key_dtype
The expected table key dtype.
value_dtype
The expected table value dtype.
__init__(filename, key_column_index=TextFileIndex.WHOLE_LINE, value_column_index=TextFileIndex.LINE_NUMBER, vocab_size=None, delimiter='\t', name='text_file_id_table_init')
Constructs an initializer for an string-to-id table from a text file.
It populates a table that its key and value types are string and int64, respectively. It generates one key-value pair per line. The content of the key and value are specified by the key_index and value_index.
delimiter
.filename
: The filename of the text file to be used for initialization. The path must be accessible from wherever the graph is initialized (eg. trainer or eval workers). The filename may be a scalar Tensor
.key_column_index
: The column index from the text file to get the key
values from. The default is to use the line number, starting from zero.value_column_index
: The column index from the text file ro get the value
values from. The default is 0 that represents the whole line content.vocab_size
: The number of elements in the file, if known.delimiter
: The delimiter to separate fields in a line.name
: Optional name for the op.TypeError
: when the filename is empty, or when the table key and value data types do not match the expected data types.initialize(table)
Initializes the table from a text file.
table
: The table to be initialized.The operation that initializes the table.
TypeError
: when the keys and values data types do not match the table key and value data types.Defined in tensorflow/contrib/lookup/lookup_ops.py
.
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/contrib/lookup/TextFileIdTableInitializer